How to Use the 15Five MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK filter 15Five check-ins by user?

Yes, pass the user ID as a parameter to the listcheckins tool. Your agent will only pull the history for that specific employee.

Connect 15Five to OpenAI Agents SDK to track employee sentiment and objectives inside your production agent pipeline.

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Connect 15Five MCP to OpenAI Agents SDK

Create your Vinkius account to connect 15Five to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup 15Five with OpenAI Agents SDK

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Monitor check-ins with OpenAI Agents SDK

Use `list_checkins` to pull raw sentiment data directly into your agent's reasoning loop. This lets your system flag shifts in team morale before they become larger issues. Your production agent monitors these submissions without manual oversight. It processes the text against your safety constraints, ensuring only validated insights reach your dashboard.

Automate recognition via OpenAI Agents SDK

Trigger `send_high_five` to push public recognition messages from your agent logic. You define the logic for when an agent sends praise based on specific performance milestones. This creates a feedback loop where the system acknowledges work as it happens. The tool handles the delivery, keeping your culture active and visible.

Map team structures for OpenAI Agents SDK

Use `list_departments` and `list_users` to build a local cache of your company hierarchy. This allows your agent to route tasks to the right person based on their current role. Knowing exactly who owns which objective via `list_objectives` prevents your agent from making context errors. Your system maintains a clear view of who is responsible for what.

Setup guide

Set up 15Five MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all 15Five tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives 15Five tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate 15Five tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="15Five Agent",
            instructions="You have access to 15Five tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about 15Five MCP in OpenAI Agents SDK

Initialize the MCPServerStreamableHttp class with your Vinkius endpoint and pass it into your Agent constructor. The SDK automatically detects the available tools, letting you call them immediately.

Yes, pass the user ID as a parameter to the `list_checkins` tool. Your agent will only pull the history for that specific employee.

Absolutely. Because this MCP server integrates directly into the agent flow, every tool execution shows up in your OpenAI dashboard traces.

Your agent only interacts with the specific endpoints you authorize. The Vinkius sandbox ensures that sensitive performance records never leak into unmanaged environments.

This server only processes performance metadata like objectives and check-in text. We treat this as transient input, never persisting your records outside the session.

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